IDEAS home Printed from https://ideas.repec.org/a/ids/ijmede/v22y2023i4p348-365.html
   My bibliography  Save this article

Employing TAM model to investigate the factors influencing quick commerce applications adoption using structural equation modelling technique

Author

Listed:
  • B. Deepthi
  • Vikram Bansal

Abstract

Quick commerce applications are increasingly extending their footprint all over the world as a direct consequence of the increasing need for speedy delivery from today's consumers. Quick commerce, also known as q-commerce, is the next generation of e-commerce, and as the name indicates, it is all about being quick. Q-commerce also goes by the moniker quick commerce. Utilising the technology acceptance model (TAM), the objective of this study is to identify the factors that have the most impact on the degree to which people are willing to use Q-commerce apps. In order to validate the hypotheses included within the suggested model, the structural equation modelling (SEM) technique was used. This study makes use of survey research, and the data was gathered from 277 participants residing in various metropolitan cities in India. According to the findings, the link between the intention of ordering through Q-commerce apps and the perceived benefits (PB), perceived ease of use (PEU), social influence (SI) and socio-demographic factors (SDF) are significantly and positively correlated with one another. The study's results may aid organisations operating in the Q-commerce market in comprehending the aspects influencing the customers' ordering behaviour.

Suggested Citation

  • B. Deepthi & Vikram Bansal, 2023. "Employing TAM model to investigate the factors influencing quick commerce applications adoption using structural equation modelling technique," International Journal of Management and Enterprise Development, Inderscience Enterprises Ltd, vol. 22(4), pages 348-365.
  • Handle: RePEc:ids:ijmede:v:22:y:2023:i:4:p:348-365
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=134670
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijmede:v:22:y:2023:i:4:p:348-365. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=89 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.